Qing Xia

1.4k total citations
61 papers, 487 citations indexed

About

Qing Xia is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Qing Xia has authored 61 papers receiving a total of 487 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 13 papers in Computational Mechanics and 10 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Qing Xia's work include 3D Shape Modeling and Analysis (11 papers), Computer Graphics and Visualization Techniques (9 papers) and Advanced Vision and Imaging (7 papers). Qing Xia is often cited by papers focused on 3D Shape Modeling and Analysis (11 papers), Computer Graphics and Visualization Techniques (9 papers) and Advanced Vision and Imaging (7 papers). Qing Xia collaborates with scholars based in China, United States and Germany. Qing Xia's co-authors include Mojtaba Hosseinzadeh Sani, Qiang Hua, Renqian Zhong, Xiaojin Hou, Guoan Zhang, Aimin Hao, Yuchen Cai, Guosheng Wu, Yanxia Shi and Roujun Peng and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Biochemical and Biophysical Research Communications.

In The Last Decade

Qing Xia

57 papers receiving 483 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qing Xia China 11 111 105 78 61 56 61 487
Jianhai Zhang China 14 61 0.5× 142 1.4× 44 0.6× 68 1.1× 78 1.4× 64 515
Yongtao Zhang China 13 74 0.7× 157 1.5× 114 1.5× 62 1.0× 66 1.2× 54 573
Jianhua Luo China 13 133 1.2× 53 0.5× 88 1.1× 44 0.7× 18 0.3× 41 508
Yuhan Zhang China 13 70 0.6× 89 0.8× 241 3.1× 29 0.5× 60 1.1× 46 495
Yu Guan China 11 106 1.0× 121 1.2× 238 3.1× 33 0.5× 36 0.6× 49 524
Jingjing Shen China 11 120 1.1× 97 0.9× 21 0.3× 28 0.5× 16 0.3× 27 424
Doaa Mahmoud‐Ghoneim United Arab Emirates 10 75 0.7× 78 0.7× 124 1.6× 28 0.5× 44 0.8× 14 456
Jan Luts Belgium 11 85 0.8× 251 2.4× 140 1.8× 108 1.8× 99 1.8× 20 813

Countries citing papers authored by Qing Xia

Since Specialization
Citations

This map shows the geographic impact of Qing Xia's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Qing Xia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Qing Xia more than expected).

Fields of papers citing papers by Qing Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Qing Xia. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Qing Xia. The network helps show where Qing Xia may publish in the future.

Co-authorship network of co-authors of Qing Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Qing Xia. A scholar is included among the top collaborators of Qing Xia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Qing Xia. Qing Xia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Liu, Dan, Qing Xia, Fanrong Meng, Mao Ye, & Jianwei Zhang. (2025). Multi-level semantic-assisted prototype learning for Few-Shot Action Recognition. Neurocomputing. 636. 130022–130022.
2.
Xia, Qing, et al.. (2025). Cyber Potential Metaphorical Map Method Based on GMap. ISPRS International Journal of Geo-Information. 14(2). 46–46. 1 indexed citations
3.
Liu, Dan, Fanrong Meng, Qing Xia, et al.. (2024). Temporal cues enhanced multimodal learning for action recognition in RGB-D videos. Neurocomputing. 594. 127882–127882. 10 indexed citations
4.
Liu, Congmin, et al.. (2024). Structural characterization and hypolipidemic activity of a natural polysaccharide from Suaeda salsa L.. International Journal of Biological Macromolecules. 279(Pt 4). 135480–135480. 6 indexed citations
5.
Wu, Zhenyu, Wei Wang, Lin Wang, et al.. (2024). Pixel is All You Need: Adversarial Spatio-Temporal Ensemble Active Learning for Salient Object Detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(2). 858–877. 4 indexed citations
6.
He, Xinyang, et al.. (2024). Chemical structure and immunomodulatory activity of a polysaccharide from Saposhnikoviae Radix. International Journal of Biological Macromolecules. 276(Pt 1). 133459–133459. 5 indexed citations
7.
Yang, Xiaoyu, et al.. (2024). Segmentation and Vascular Vectorization for Coronary Artery by Geometry-Based Cascaded Neural Network. IEEE Transactions on Medical Imaging. 44(1). 259–269. 6 indexed citations
8.
Xu, Hong‐He, Zhibin Niu, Yitong Sun, et al.. (2023). A multi-dimensional dataset of Ordovician to Silurian graptolite specimens for virtual examination, global correlation, and shale gas exploration. Earth system science data. 15(5). 2213–2221. 1 indexed citations
9.
Xia, Qing, Zhennan Yan, Zhiqiang Hu, et al.. (2023). AVDNet: Joint coronary artery and vein segmentation with topological consistency. Medical Image Analysis. 91. 102999–102999. 10 indexed citations
10.
Xia, Qing, et al.. (2023). Static sitting posture control during writing tasks in idiopathic scoliosis among freshmen. Journal of Orthopaedic Surgery and Research. 18(1). 735–735.
11.
Fan, Haitao, Meng Sun, Jie Li, et al.. (2023). Structure characterization and immunomodulatory activity of a polysaccharide from Saposhnikoviae Radix. International Journal of Biological Macromolecules. 233. 123502–123502. 41 indexed citations
12.
Wu, Zhenyu, Lin Wang, Wei Wang, et al.. (2023). Pixel Is All You Need: Adversarial Trajectory-Ensemble Active Learning for Salient Object Detection. Proceedings of the AAAI Conference on Artificial Intelligence. 37(3). 2883–2891. 4 indexed citations
13.
Wang, Yufeng & Qing Xia. (2023). TPG-rayGAN: CT reconstruction based on transformer and generative adversarial networks. 51–51. 1 indexed citations
14.
Xia, Qing, et al.. (2019). Efficient 4D shape completion from sparse samples via cubic spline fitting in linear rotation-invariant space. Computers & Graphics. 82. 129–139. 2 indexed citations
15.
Xia, Qing, et al.. (2014). A two-point spatial mapping method for hybrid vision systems. Journal of Modern Optics. 61(11). 910–922. 2 indexed citations
16.
Xia, Qing, Yuchen Cai, Roujun Peng, et al.. (2013). The CDK1 inhibitor RO3306 improves the response of BRCA-proficient breast cancer cells to PARP inhibition. International Journal of Oncology. 44(3). 735–744. 49 indexed citations
17.
18.
Luo, Xue, Feng Lü, Hongli Wang, et al.. (2012). Comparative autoantibody profiling before and after appearance of malignance: Identification of anti-cathepsin D autoantibody as a promising diagnostic marker for lung cancer. Biochemical and Biophysical Research Communications. 420(4). 704–709. 2 indexed citations
19.
Xia, Qing. (2009). Automatic Calibration Method for C-arm Camera Model Based on Calibration Target. Jisuanji gongcheng.
20.
Xia, Qing, et al.. (2005). Proteomics-based identification of DEAD-box protein 48 as a novel autoantigen, a prospective serum marker for pancreatic cancer. Biochemical and Biophysical Research Communications. 330(2). 526–532. 57 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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